Taboola 推出 Realize+：以代理式 AI 系统助力广告主营销目标转化为实际效果

Taboola has launched Realize+, an agent-based AI system that helps advertisers automatically optimize campaigns on the open web, reducing manual effort while improving conversion rates.

1. Core features include a Decision Engine for real-time budget allocation and an Element Generator for automatic creative optimization, enabling efficient campaign operation without frequent manual adjustments.

2. Data shows that 80% of marketers would increase open web spending if AI solutions similar to walled gardens were available, and 86% are willing to shift up to a quarter of their budgets, indicating significant market potential.

3. Users can interact conversationally via integration with the Claude platform to simplify campaign creation/optimization; beta testing is underway, with broader rollout planned for Q2 2026.

4. Experts like Sonova’s Héctor Vargas Mendoza praise automated budget allocation, Strand’s Matt Linder highlights efficiency gains, and Taboola CEO Adam Singolda explains the advantages of AI-driven transformation.

Realize+ enables brands to achieve efficient marketing on the open web by automating campaign optimization to boost brand exposure and conversions.

1. Brand opportunities: The agent-based AI system automates budget decisions and creative optimization, helping brands expand beyond search channels while reducing waste and improving conversion rates.

2. Consumption trends: 80% of marketers are willing to increase open web investment, and 86% plan to reallocate budgets, signaling the open web’s emergence as a new growth avenue.

3. User behavior insights: Automation tools like the Element Generator refine audience targeting strategies for precision marketing; Strand co-founder Matt Linder confirms consistent performance in case studies.

4. Brand-building support: Taboola CEO Adam Singolda emphasizes the system’s transparency and controllability, addressing walled garden limitations to deliver measurable growth.

Realize+ offers automation tools to navigate complex ad environments, delivering growth opportunities and operational simplification.

1. Market opportunity: Data indicates that AI solutions for the open web could attract 80% of marketers to increase budgets, with 86% willing to shift spend—sellers can leverage this to capture market share.

2. Key takeaways: The Decision Engine enables real-time dynamic budget allocation, while the Element Generator automates creative optimization, reducing manual labor; Sonova’s Héctor Vargas Mendoza cites efficiency breakthroughs.

3. Collaboration avenues: Integration with Claude allows conversational ad campaign creation; beta testing expands in Q2 2026, offering participation opportunities.

4. Risk mitigation: Manual management struggles with variables like creatives and audiences; agent-based AI like Realize+ automates decision-making to improve execution efficiency.

Realize+ highlights opportunities for digital and e-commerce integration, offering insights for production optimization.

1. Product design needs: The Element Generator’s automated creative optimization can inspire factories to adopt generative techniques for streamlining promotional content design.

2. Business opportunities: Joining Taboola’s ecosystem (e.g., beta testing or co-development) opens new revenue streams in digital advertising.

3. Digital transformation insights: AI-driven automation cases (e.g., budget allocation, creative generation) can be applied to optimize production scheduling and e-commerce operations.

4. Enterprise applications: Taboola’s Realize+ demonstrates AI-driven efficiency, with Sonova and Strand’s success stories serving as references.

Realize+ showcases AI trends and solutions addressing industry pain points and client demands.

1. Industry evolution: Agent-based AI signals a shift toward AI-native advertising; Taboola CEO Adam Singolda emphasizes the transition from manual optimization to full automation.

2. Technology focus: The Decision Engine and Element Generator automate campaign decisions/optimization using first-party data and machine learning.

3. Client pain points: Advertisers grapple with managing hundreds of variables (e.g., creatives, placements); Realize+ automates exploration and optimization to streamline workflows.

4. Integration opportunities: Claude integration enables conversational interfaces; with 86% of marketers shifting to the open web, service providers can develop complementary tools.

Realize+ addresses advertiser demands for platform automation, enhancing operational management.

1. Business needs: Advertisers seek walled-garden-like automation; the platform’s Decision Engine and Element Generator enable dynamic budget/creative optimization for better results.

2. Platform updates: Taboola launched Realize+ in beta, with expansion planned for Q2 2026 and a full-year product roadmap; core modules are transparent and controllable.

3. Partnership opportunities: The open beta supports advertiser/agency integration via Claude’s conversational interface, attracting broader participation.

4. Operational optimization: The system auto-evaluates thousands of signals for decision-making, reducing manual intervention; experts like Matt Linder confirm performance stability, with risk mitigation through automation.

Realize+ signifies an AI-driven industry transformation, revealing new trends and model shifts.

1. Industry动向: Advertising is transitioning from manual optimization to agent-based AI systems; Taboola CEO Adam Singolda notes the arrival of fully autonomous agents.

2. Problem analysis: Manual management falls short in complex ad environments (hundreds of variables); data highlights the open web’s gap with walled gardens, necessitating automated, transparent solutions.

3. Policy implications: Singolda emphasizes balancing automation with controllability, offering a model for regulation; platforms evolving toward AI-native operations require regulatory adaptation for AI decisions.

4. Business model exploration: Agent-based AI like Realize+ enables ecosystem collaboration via Claude’s conversational interface; test data and enterprise feedback support scalability.